Panel biomarkers associated with cancer invasion and prognostic prediction for head–neck cancer

2021 ◽  
Author(s):  
Yin-Ju Chen ◽  
Joseph T Chang ◽  
Guo-Rung You ◽  
Chun-Yu Huang ◽  
Kang-Hsing Fan ◽  
...  

Aim: Cell invasion leading to metastasis is a major cause of treatment failure in head–neck cancers (HNCs). Identifying prognostic molecules associated with invasiveness is imperative for clinical applications. Materials & methods: A systemic approach was used to globally survey invasion-related genes, including transcriptomic profiling, pathway analysis, data mining and prognostic assessment using TCGA-HNSC dataset. Results: Six functional pathways and six hub molecules (LAMA3, LAMC2, THBS1, IGF1R, PDGFB and TGFβ1) were identified that significantly contributed to cell invasion, leading to poor survival in HNC patients. Combinations of multiple biomarkers substantially increased the probability of accurately predicting prognosis. Conclusion: Our six defined invasion-related molecules may be used as a panel signature in precision medicine for prognostic indicators or molecular therapeutic targets for HNC.

2021 ◽  
Vol 11 ◽  
Author(s):  
Guo-Rung You ◽  
Joseph T. Chang ◽  
Yan-Liang Li ◽  
Yin-Ju Chen ◽  
Yu-Chen Huang ◽  
...  

BackgroundCancer metastasis and recurrence after radiotherapy are the significant causes of poor prognosis in head-neck cancer (HNC). Clinically, it is commonly found that patients with either condition may accompany the outcome of the other. We hypothesized that HNC cells might exhibit a cross-phenotypic attribute between cell invasion and radioresistance. To discover effective biomarkers for the intervention of aggressive cancer at one time, the potential molecules that interplay between these two phenotypes were investigated.Materials and MethodsThree isogenic HNC cell sublines with high invasion or radioresistance properties were established. Transcriptomic and bioinformatic methods were used to globally assess the phenotypic-specific genes, functional pathways, and co-regulatory hub molecules. The associations of gene expressions with patient survival were analyzed by Kaplan-Meier plotter, a web-based tool, using the HNSCC dataset (n=500). The molecular and cellular techniques, including RT-qPCR, flow cytometry, cell invasion assay, and clonogenic survival assay, were applied.ResultsThe phenotypic crosstalk between cell invasion and radioresistance was validated, as shown by the existence of mutual properties in each HNC subline. A total of 695 genes was identified in associations with these two phenotypes, including 349 upregulated and 346 downregulated in HNC cells. The focal adhesion mechanism showed the most significant pathway to co-regulate these functions. In the analysis of 20 up-regulatory genes, a general portrait of correlative expression was found between these phenotypic cells (r=0.513, p=0.021), and nine molecules exhibited significant associations with poor prognosis in HNC patients (HR>1, p<0.050). Three hub genes were identified (ITGA6, TGFB1, and NDRG1) that represented a signature of interplayed molecules contributing to cell invasion, radioresistance and leading to poor prognosis. The ITGA6 was demonstrated as a prominent biomarker. The expression of ITGA6 correlated with the levels of several extracellular and apoptotic/anti-apoptotic molecules. Functionally, silencing ITGA6 suppressed cell migration, invasion, and attenuated radioresistance in HNC cells.ConclusionsA panel of interplay molecules was identified that contribute to cell invasion and radioresistance, leading to poor prognosis. These panel molecules, such as ITGA6, may serve as predictive markers of radioresistance, prognostic markers of metastasis, and molecular therapeutic targets for refractory HNC.


2021 ◽  
Vol 41 (1) ◽  
pp. 467-475
Author(s):  
IOANNIS M. KOUKOURAKIS ◽  
ANNA ZYGOGIANNI ◽  
VASSILIOS KOULOULIAS ◽  
GEORGE KYRGIAS ◽  
MARIANTHI PANTELIADOU ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ying Bi ◽  
Yifan Zhu ◽  
Xiao Ma ◽  
Jiejing Xu ◽  
Yun Guo ◽  
...  

AbstractNow there is no clinical scale for early prediction of refractory Mycoplasma pneumoniae pneumonia (RMPP). The aim of this study is to identify indicators and develop an early predictive scale for RMPP in hospitalized children. First we conducted a retrospective cohort study of children with M. pneumoniae pneumonia admitted to Children’s Hospital of Nanjing Medical University, China in 2016. Children were divided into two groups, according to whether their pneumonia were refractory and the results were used to develop an early predictive scale. Second we conducted a prospective study to validate the predictive scale for RMPP in children in 2018. 618 children were included in the retrospective study, of which 73 with RMPP. Six prognostic indicators were identified and included in the prognostic assessment scale. The sensitivity of the prognostic assessment scale was 74.0% (54/73), and the specificity was 88.3% (481/545) in the retrospective study. 944 children were included in the prospective cohort, including 92 with RMPP, the sensitivity of the prognostic assessment scale was 78.3% (72/92) and the specificity was 86.2% (734/852). The prognostic assessment scale for RMPP has high diagnostic accuracy and is suitable for use in standard clinical practice.


2005 ◽  
Vol 27 (20) ◽  
pp. 38-39 ◽  
Author(s):  
Devon Schuyler

2021 ◽  
Vol 82 ◽  
pp. 7-16
Author(s):  
Savino Cilla ◽  
Francesco Deodato ◽  
Carmela Romano ◽  
Anna Ianiro ◽  
Gabriella Macchia ◽  
...  

2013 ◽  
Vol 106 ◽  
pp. S99
Author(s):  
A. Duffton ◽  
R. Muirhead ◽  
M. Rizwanullah ◽  
C. Paterson ◽  
M. McJury ◽  
...  

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